Packaging speed self-adaptive regulation and control method and system of automatic packaging machine

Abstract

The invention provides a packaging speed self-adaptive regulation and control method and system for an automatic packaging machine, and relates to the technical field of process control, and the method comprises the steps: collecting a dynamic working condition feature set in a packaging production line connected with the automatic packaging machine; constructing a speed regulation and control model, and configuring a packaging speed optimization vector in combination with the mechanical wear coefficient of the equipment and the material deformation parameter; and based on the dynamic working condition feature set, in combination with the packaging speed optimization vector, determining a predicted packaging rhythm and a predicted overload risk level coupled with an equipment state, and generating a self-adaptive control instruction set to regulate and control the packaging speed. The technical problem that speed regulation and control are not flexible enough due to the fact that variable working conditions in production are difficult to adapt is solved, accurate regulation and control of the packaging speed are achieved by collecting the dynamic working condition feature set, constructing the speed regulation and control model and generating the self-adaptive control instruction set, and therefore the product quality and the production efficiency are improved.

Description

Technical Field

[0001] The present application relates to the technical field of process control, and particularly to a method and system for adaptively regulating the packaging speed of an automatic packaging machine. Background Art

[0002] Currently, the control methods of automatic packaging machines usually adopt constant speed or regulation methods based on simple feedback. However, in the actual production process, factors such as the material conveying rate, packaging film tension, environmental conditions (such as temperature, humidity, vibration, etc.), and equipment wear will constantly change. These changes make the fixed packaging speed control scheme unable to cope with complex and constantly changing working conditions, resulting in a lag and lack of precision in the adjustment of the packaging speed when sudden situations or environmental changes occur during the production process. Due to the lack of an effective speed optimization mechanism, the packaging machine operates under inappropriate working conditions (such as too high or too low speed), leading to accelerated equipment wear, increased maintenance frequency, and thus wasting a large amount of energy and resources. Long-term improper speed control may also affect the consumption of packaging materials, causing unnecessary waste.

[0003] In summary, there are technical problems in the prior art that due to the difficulty of speed control in adapting to the changing working conditions in production, the speed regulation is not flexible enough, which in turn affects production efficiency and product quality. Summary of the Invention

[0004] The purpose of the present application is to provide a method and system for adaptively regulating the packaging speed of an automatic packaging machine to solve the technical problems in the prior art that due to the difficulty of speed control in adapting to the changing working conditions in production, the speed regulation is not flexible enough, which in turn affects production efficiency and product quality.

[0005] In view of the above problems, the present application provides a method and system for adaptively regulating the packaging speed of an automatic packaging machine.

[0006] In a first aspect, the present application provides a method for adaptively regulating the packaging speed of an automatic packaging machine. The method for adaptively regulating the packaging speed of an automatic packaging machine is implemented through a system for adaptively regulating the packaging speed of an automatic packaging machine. Among them, the method for adaptively regulating the packaging speed of an automatic packaging machine includes: collecting a set of dynamic working condition characteristics including the material conveying rate, packaging film tension, and environmental vibration spectrum on the packaging production line connected to the automatic packaging machine; constructing a speed regulation model, combining the equipment mechanical wear coefficient and the material deformation parameter, and configuring an optimized packaging speed vector under the action of dynamic working condition constraints; based on the set of dynamic working condition characteristics, combining the optimized packaging speed vector under the action of dynamic working condition constraints, determining the predicted packaging beat and the predicted overload risk level coupled with the equipment state, and generating an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine.

[0007] Optionally, drive the optoelectronic detection instruction in coordination with the material conveying rate in the dynamic operating condition characteristics set; the optoelectronic detection instruction is used to start the dual optoelectronic sensor arrays on both sides of the automatic packaging machine for material positioning and packaging film edge detection.

[0008] Optionally, obtain the lateral deviation amount Δx between the material center and the center line of the packaging film; configure the speed compensation coefficient where D max is the maximum allowable lateral deviation threshold, sgn(Δx) is the sign function, taking +1 when Δx > 0 and -1 when Δx < 0.

[0009] Optionally, the dynamic operating condition characteristics set further includes automatic heat sealing parameters; evaluate the heat sealing strength index S through the heat sealing knife temperature T seal and the heat sealing time t seal in the automatic heat sealing parameters; configure the heat sealing time window W according to the heat sealing strength index S and determine the heat sealing process constraint in the dynamic operating condition constraint.

[0010] Optionally, the heat sealing strength index where T ref is the nominal heat sealing temperature and t ref is the nominal heat sealing time.

[0011] Optionally, the heat sealing time window W = t ref ·(1 + α·(1 - S)), where α is the heat sealing time adjustment coefficient with a value range of 0.1 ≤ α ≤ 0.3, used to control the variation range of the heat sealing time window W with the heat sealing strength index S; synchronously adjust the heat sealing process and the running speed of the automatic packaging machine according to the heat sealing time window W.

[0012] Optionally, the dynamic operating condition characteristics set further includes automatic printing parameters; evaluate the printing clarity index through the printing head spraying frequency and the ink droplet diameter in the automatic printing parameters; configure the printing time window according to the printing clarity index and determine the printing process constraint in the dynamic operating condition constraint.

[0013] Optionally, define the state space according to the equipment mechanical wear coefficient and the material deformation parameter; define the action space according to the motor frequency and the tension roller displacement; based on the state space and the action space, configure the exploration step size of the speed regulation model using the deep deterministic policy gradient.

[0014] Optionally, connect the dual optoelectronic sensor arrays, the heat sealing control unit, and the printing control unit, and deploy the edge computing unit; the edge computing unit configures the state update frequency synchronized with the predicted packaging beat in combination with the state space.

[0015] Second aspect, the present application also provides a packaging speed adaptive regulation system for an automatic packaging machine, which is used to execute a packaging speed adaptive regulation method for an automatic packaging machine as described in the first aspect. Among them, the packaging speed adaptive regulation system for an automatic packaging machine includes: a working condition set collection module, which is used to collect a dynamic working condition feature set including material conveying rate, packaging film tension and environmental vibration spectrum on the packaging production line connected to the automatic packaging machine; an optimization vector configuration module, which is used to construct a speed regulation model, combine the equipment mechanical wear coefficient and the material deformation parameter, and configure an optimized packaging speed vector under the action of dynamic working condition constraints; an instruction generation module, which is used to determine a predicted packaging beat and a predicted overload risk level coupled with the equipment state based on the dynamic working condition feature set and the optimized packaging speed vector under the action of dynamic working condition constraints, and generate an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine.

[0016] One or more technical solutions provided in the present application have at least the following beneficial effects:

[0017] By collecting a dynamic working condition feature set including material conveying rate, packaging film tension and environmental vibration spectrum on the packaging production line connected to the automatic packaging machine; constructing a speed regulation model, combining the equipment mechanical wear coefficient and the material deformation parameter, and configuring an optimized packaging speed vector under the action of dynamic working condition constraints; determining a predicted packaging beat and a predicted overload risk level coupled with the equipment state based on the dynamic working condition feature set and the optimized packaging speed vector under the action of dynamic working condition constraints, and generating an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine. That is to say, by collecting the dynamic working condition feature set, combining the equipment mechanical wear and the material deformation parameter, constructing a speed regulation model, and generating an adaptive control instruction set accordingly, the precise regulation of the packaging speed can be realized, effectively coping with the dynamic working condition changes on the production line, reducing equipment wear, ensuring product quality at the same time, and enhancing the flexibility and response speed of the production line.

[0018] The above description is only an overview of the technical solutions of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically illustrates the embodiments of the present application. It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. Description of the Drawings

[0019] To more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the provided drawings.

[0020] Figure 1 It is a schematic flow chart of a method for adaptively regulating the packaging speed of an automatic packaging machine in the present application;

[0021] Figure 2 It is a schematic structural diagram of a system for adaptively regulating the packaging speed of an automatic packaging machine in the present application.

[0022] Explanation of reference numerals: The working condition set collection module 11, the optimization vector configuration module 12, the instruction generation module 13. Detailed implementation manners

[0023] By providing a method and a system for adaptively regulating the packaging speed of an automatic packaging machine, the present application solves the technical problem in the prior art that due to the difficulty of speed control in adapting to the changing working conditions in production, the speed regulation is not flexible enough, which in turn affects the production efficiency and product quality. By collecting the dynamic working condition feature set, combining the mechanical wear of the equipment and the material deformation parameters, a speed regulation model is constructed, and an adaptive control instruction set is generated accordingly to achieve precise regulation of the packaging speed, effectively coping with the dynamic working condition changes on the production line, reducing equipment wear, ensuring product quality at the same time, and enhancing the flexibility and response speed of the production line.

[0024] Next, the technical solutions in the present application will be clearly and completely described with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited by the example embodiments described here. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application. Additionally, it should be noted that for the convenience of description, only the parts related to the present application are shown in the drawings rather than all of them.

[0025] Embodiment 1, please refer to the attached Figure 1 In this application, a method for adaptively regulating the packaging speed of an automatic packaging machine is provided. Among them, the method for adaptively regulating the packaging speed of an automatic packaging machine is executed by a system for adaptively regulating the packaging speed of an automatic packaging machine. The method for adaptively regulating the packaging speed of an automatic packaging machine specifically includes the following steps:

[0026] S100: On the packaging production line connected to the automatic packaging machine, collect a set of dynamic operating condition characteristics including the material conveying rate, packaging film tension, and environmental vibration spectrum.

[0027] Specifically, on the packaging production line connected to the automatic packaging machine, collect the set of dynamic operating condition characteristics through multi-source sensors installed on the production line. The packaging production line refers to the entire production process for product packaging, including multiple automated devices such as conveyor belts, packaging machines, sealing machines, etc. Multiple devices work together to complete the packaging task of items. The set of dynamic operating condition characteristics is various data characteristics related to the operating conditions collected in real time during the production process, including but not limited to the material conveying rate, packaging film tension, environmental vibration spectrum, etc., reflecting the real-time changes in the production environment and the working state of the equipment.

[0028] The material conveying rate refers to the speed at which materials are conveyed on the production line, usually measured by the quantity or length of materials conveyed per unit time, and the moving speed of the materials is detected by a speed sensor installed on the conveyor belt. The packaging film tension refers to the force borne by the packaging film during the stretching process, which usually affects the flatness and sealing quality of the packaging film, and the tension of the packaging film is monitored by a tension sensor (such as a strain gauge, force sensor, etc.). The environmental vibration spectrum refers to the frequency distribution map of vibration fluctuations caused by the external environment, usually used to describe the vibration impact on the production line or equipment during operation, especially the vibration caused by factors such as equipment operation and material flow, which will affect the operation accuracy and stability of the automatic packaging machine. Usually, the vibration frequency in the production environment is monitored in real time through a vibration sensor (such as an accelerometer or vibration analyzer). Different frequencies represent different vibration sources, such as equipment operation and material flow. For example, the data on the packaging production line is as follows: the material conveying rate is 28 meters per minute, the packaging film tension is 38 N, and the vibration frequency is 18 Hz. Through the real-time collection of dynamic operating condition characteristics, the current operating state of the production line is accurately reflected.

[0029] Furthermore, S100 of this application includes:

[0030] Using the material conveying rate in the set of dynamic operating condition characteristics, synergistically drive the optoelectronic detection instruction; the optoelectronic detection instruction is used to start the dual optoelectronic sensor array on both sides of the automatic packaging machine for material positioning and packaging film edge detection.

[0031] Obtain the lateral deviation amount Δx between the material center and the packaging film center line; configure the speed compensation coefficient where D max is the maximum allowable lateral deviation threshold, and sgn(Δx) is the sign function, which takes +1 when Δx > 0 and -1 when Δx < 0.

[0032] Specifically, in a packaging production line, materials are conveyed to an automatic packaging machine through a conveyor belt. The speed of material conveyance is monitored in real time by sensors, and a photoelectric detection instruction is driven to activate the photoelectric sensor array located on both sides of the packaging machine to start the positioning of the materials and the monitoring of the edges of the packaging film. The photoelectric detection instruction is a control signal, usually issued by the control center of the automatic packaging machine, used to activate or trigger the detection functions related to the photoelectric sensors, and to detect the presence or position of an object by emitting and receiving light. When the material passes through the sensor, the occlusion or reflection of light will trigger a detection signal.

[0033] The dual photoelectric sensor array consists of multiple photoelectric sensors and is usually placed on both sides of the automatic packaging machine to detect features such as the position, shape, and edges of the materials. The photoelectric sensors emit infrared light or laser and receive the reflected light to judge the state and position of the object. When the material passes by the sensors, their reflected light or occlusion will be captured by the sensors, thus realizing the positioning of the materials. For example, when a certain packaging production line is packaging boxes, the boxes pass through the photoelectric sensor array from the conveyor belt. When the material passes through the sensors, the sensors detect that the light is occluded and feedback the exact position of the box, and the control center adjusts the working state of the packaging machine according to this signal.

[0034] After activating the photoelectric sensor array, the exact position of the material is tracked in real time to determine whether the position of the material deviates from the preset trajectory. If a deviation occurs, the working parameters of the material conveyor belt or the packaging machine are adjusted to ensure that the material remains in the correct position. At the same time, the photoelectric sensor array is also used to detect the edges of the packaging film. During the packaging process, the packaging film must be precisely aligned with the edges of the materials. If the position of the edge of the packaging film shifts, the sensor will detect this change and promptly feedback it to the control center, and then the position of the packaging film is adjusted to ensure that the packaging film precisely covers the materials. For example, assume that the photoelectric sensor array detects that the edge of the packaging film has shifted by 0.5 millimeters. The control center immediately issues an adjustment instruction to adjust the packaging film by controlling the film conveying device to restore the correct alignment position and ensure the packaging quality.

[0035] The lateral deviation amount between the center of the material and the center line of the packaging film refers to the alignment situation between the center of the material and the packaging film during the packaging process. When the material is not completely centered, there will be a certain deviation between their center lines, that is, Δx, and this value can be positive or negative. By comparing the relative positions of the center of the material and the center line of the packaging film, the lateral deviation amount is obtained, indicating the direction and degree of deviation of the material from the center line of the film. The sign function is a function in mathematics, and its role is to return different sign values according to the positive or negative of the input value. The maximum allowable lateral deviation threshold D maxIt refers to the maximum deviation tolerance value between the material and the center line of the packaging film during the packaging process, which is usually set according to the specifications of the packaged product and the accuracy requirements of the packaging machine. It is used to limit the deviation range of the material and prevent packaging quality problems caused by excessive deviation.

[0036] Configure the speed compensation coefficient It is used to adjust the speed of the packaging machine according to the deviation amount of the material in order to quickly correct the deviation. The speed compensation coefficient is to adjust the packaging speed of the automatic packaging machine according to the lateral deviation between the material and the center line of the packaging film, so that the material can be restored to the correct position as much as possible during the packaging process. The speed compensation coefficient is a coefficient used to adjust the operating speed of the packaging machine, which is calculated according to the lateral deviation amount between the material center and the center line of the packaging film, and is used to compensate for the inaccurate packaging caused by the deviation.

[0037] If Δx is positive, the value of sgn(Δx) is +1, so the speed compensation coefficient will be less than 1. Since is a positive number, the speed of the packaging machine needs to be slowed down to help the material return to the center position; on the contrary, when Δx is negative, the value of sgn(Δx) is -1, so the speed compensation coefficient will be greater than 1, and the speed of the packaging machine needs to be increased to help the material return to the center position; when Δx is 0, it indicates that the material is centered and there is no need to adjust the speed, and the packaging machine maintains the original speed.

[0038] Exemplarily, assuming that the maximum allowable lateral deviation threshold is 1mm, the compensation coefficients under different deviation amounts are calculated. The speed compensation coefficients under different lateral deviation amounts are shown in Table 1:

[0039] Table 1 Speed compensation coefficients under different lateral deviation amounts

[0040]

[0041]

[0042] By coordinating the photoelectric detection instruction and the material conveying rate, the automatic packaging machine can achieve high-precision positioning of the material and accurate detection of the packaging film edge, improve the automation level of the packaging process, and reduce packaging defects caused by inaccurate material positioning or incorrect packaging film edge detection. By obtaining the lateral deviation amount between the material center and the center line of the packaging film and configuring the speed compensation coefficient, the automatic packaging machine can adjust the operating speed in real time to compensate for the inaccurate packaging caused by the material deviation, which helps to improve the stability of the packaging process and the packaging quality, while reducing material waste and production interruption.

[0043] S200: Build a speed regulation model, combine the equipment mechanical wear coefficient and the material deformation parameters, and configure the packaging speed optimization vector under the dynamic working condition constraints.

[0044] Specifically, the speed regulation model is a decision-making model used to adjust the packaging speed of an automatic packaging machine under different working conditions. It dynamically adjusts the packaging speed according to the system state, environmental conditions, and equipment parameters to ensure the efficiency, stability, and quality of the packaging process. The dynamic working condition characteristics of the automatic packaging machine are collected, including the equipment mechanical wear coefficient, material deformation parameters, packaging film tension, motor frequency, etc. According to the collected working condition data, the state space and action space of the packaging machine can be defined. The state space contains the current working condition information of the equipment (such as wear coefficient, material deformation, etc.), and the action space contains the control parameters that can be adjusted (such as packaging speed, motor frequency, tension roller displacement, etc.). The equipment mechanical wear coefficient and material deformation parameters will affect the performance of the packaging machine, so these two factors need to be used as important inputs in the model. Mechanical wear will affect the rotation speed and transmission efficiency of the motor, and material deformation may cause uneven tension of the packaging film, thereby affecting the packaging speed.

[0045] According to the real-time collected working condition data and combined with the physical characteristics of the equipment, dynamic working condition constraints are defined, including heat sealing process constraints, printing process constraints, etc., which limit the action range that the packaging machine can choose in different states. Analyze the influence of heat sealing process constraints and printing process constraints on the packaging speed and convert them into limit parameters in the model to ensure that the packaging speed is optimized on the premise of meeting the process requirements.

[0046] Use optimization algorithms (such as linear programming, genetic algorithms, or reinforcement learning, etc.), combined with the state space, action space, and dynamic working condition constraints (including heat sealing process constraints and printing process constraints), to calculate the packaging speed optimization vector. The packaging speed optimization vector automatically adjusts the operating speed of the packaging machine according to the state of the equipment to achieve the highest efficiency and optimal quality.

[0047] By adjusting the working parameters of the packaging machine (such as the motor speed of the packaging machine, heat-sealing temperature, heat-sealing time, print head frequency, etc.), on the premise of meeting the above process constraints, maximize the packaging efficiency (i.e., increase the packaging speed) and packaging quality. Taking the genetic algorithm as an example, the optimal solution is found by simulating the mechanism of natural selection. A certain number of solutions (population) are randomly generated, and each solution contains the control parameters of the packaging machine, such as motor speed, heat-sealing time, heat-sealing temperature, print head spraying frequency, ink droplet diameter, etc. For each solution, its fitness value is calculated. The fitness function usually consists of the objective function and constraints, such as the comprehensive evaluation of packaging speed and packaging quality. Select excellent individuals for reproduction according to the fitness value. Individuals with higher fitness have a greater probability of being selected. Select two individuals (parents), and generate new offspring solutions through the crossover operation. The crossover operation generates new individuals by exchanging part of the information of the two individuals (such as heat-sealing time and print frequency). Perform mutation operations on some individuals to increase the diversity of solutions and avoid falling into local optimal solutions. After a certain number of generations of iteration, select the solution with the highest fitness as the optimal solution, that is, the packaging speed optimization vector, which combines dynamic working condition constraints (such as the requirements of heat-sealing and printing processes) to ensure the balance between packaging quality and production efficiency.

[0048] By optimizing the packaging speed in real time, the tension of the packaging film and the deformation of the material can be effectively controlled, thereby improving the packaging quality, reducing defects and waste, solving the problem of working condition adaptation of the automatic packaging machine in a complex production environment, and improving the overall performance and stability of the production line.

[0049] Furthermore, the S200 of the present application includes:

[0050] The dynamic working condition feature set further includes automatic heat-sealing parameters; through the heat-sealing knife temperature T in the automatic heat-sealing parameters seal and the heat-sealing time t seal , evaluate the heat-sealing strength index S; according to the heat-sealing strength index S, configure the heat-sealing time window W, and determine the heat-sealing process constraint in the dynamic working condition constraint.

[0051] The heat-sealing strength index wherein, T ref is the nominal heat-sealing temperature, and t ref is the nominal heat-sealing time.

[0052] The heat-sealing time window W = t ref ·(1 + α·(1 - S)), where α is the heat-sealing time adjustment coefficient, and the value range is 0.1 ≤ α ≤ 0.3, which is used to control the variation range of the heat-sealing time window W with the heat-sealing strength index S; according to the heat-sealing time window W, synchronously adjust the heat-sealing process and the running speed of the automatic packaging machine.

[0053] Specifically, in addition to the material conveying rate, the packaging film tension, and the environmental vibration spectrum, the dynamic operating condition feature set also includes automatic heat-sealing parameters, that is, the parameters for sealing the packaging film, usually using a heat-sealing knife to heat and press the film material. The heat-sealing parameters include the temperature T for the heat-sealing process seal and the heat-sealing time t seal , which directly affect the quality of heat-sealing. According to the heat-sealing knife temperature and the heat-sealing time, the heat-sealing strength index is calculated through , where T seal is the heat-sealing knife temperature, and t seal is the heat-sealing time, which is the time when the heat-sealing knife contacts the packaging film. Too short a time may result in incomplete sealing, and too long a time may cause overheating of the film material; T ref is the nominal heat-sealing temperature, which is a reference temperature, usually a standard temperature set according to experimental data or process requirements, and is used as a benchmark for evaluation; t ref is the nominal heat-sealing time, which represents the heat-sealing time required at the nominal temperature and is a reference standard. The heat-sealing strength index is an important indicator for measuring the heat-sealing effect and reflects the firmness of heat-sealing.

[0054] The heat-sealing time window refers to a range of acceptable heat-sealing times set according to the current heat-sealing conditions during the heat-sealing process, ensuring that the heat-sealing operation is carried out within the optimal time, thereby ensuring the consistency of the sealing quality. According to the heat-sealing strength index S, the heat-sealing time window W is configured. The heat-sealing time window formula W = t ref ·(1 + α·(1 - S)) is used for configuration, where α is the heat-sealing time adjustment coefficient, and the value range is 0.1 ≤ α ≤ 0.3, which is used to control the variation range of the heat-sealing time window W with the heat-sealing strength index S.

[0055] Exemplarily, assume that the current heat-sealing knife temperature is 175°C, the heat-sealing time is 0.4 s, the nominal heat-sealing temperature is 180°C, and the nominal heat-sealing time is 0.5 s. Substituting these values into the formula, the calculated heat-sealing strength index is 0.869, which represents the strength of the current heat-sealing process. When the heat-sealing time adjustment coefficient takes a value of 0.2, according to the aforementioned formula and the obtained heat-sealing strength index, the calculated heat-sealing time window is 0.513 s, and the actual heat-sealing time is 0.4 s, which is less than the lower limit of 0.5 s to 0.513 s, meaning that the actual heat-sealing time is shorter than the calculated heat-sealing time window, which may result in poor heat-sealing effect, insufficient sealing strength, and easy occurrence of unsealed or non-compliant sealing quality situations.

[0056] Since the heat-sealing operation is closely related to the operating speed of the packaging machine, it is necessary to synchronously adjust the heat-sealing process and the operating speed of the automatic packaging machine according to the adjusted heat-sealing time window. By adjusting the heat-sealing process, ensure that the heat-sealing time is within the heat-sealing time window. If the heat-sealing time is shorter than the lower limit of the W range, it may be necessary to increase the heat-sealing time; if the heat-sealing time is longer than the upper limit of the W range, the heat-sealing time needs to be reduced. The operating speed of the packaging machine needs to be coordinated with the heat-sealing time to ensure that the heat-sealing process for each package has sufficient time to complete. If the operating speed of the packaging machine is too fast, the heat-sealing time may be insufficient; if the operating speed of the packaging machine is too slow, it may waste time and affect production efficiency. The longer the heat-sealing time, the operating speed of the packaging machine should be appropriately reduced to ensure that there is enough time for the heat-sealing operation; while the shorter the heat-sealing time, the operating speed of the packaging machine can be appropriately increased.

[0057] According to the heat-sealing strength index, configure the heat-sealing time window, flexibly adjust the heat-sealing time according to the change of heat-sealing quality, ensure that key parameters such as time and temperature in the heat-sealing process are reasonably adjusted, so as to achieve a good sealing effect, and at the same time avoid quality problems caused by too long or too short heat-sealing time. Based on the above, determine the heat-sealing process constraints, that is, the conditions or limitations for controlling the heat-sealing quality in the engineering process, and guide the packaging machine on how to adjust the heat-sealing parameters under specific working conditions to maintain the heat-sealing quality. By dynamically adjusting the heat-sealing time window according to the heat-sealing strength index and the heat-sealing time adjustment coefficient, it is possible to ensure the stability of the heat-sealing quality in a changing production environment and avoid unqualified sealing caused by insufficient or excessive heat-sealing time.

[0058] Furthermore, the present application further includes the following steps:

[0059] The dynamic working condition feature set further includes automatic printing parameters; evaluate the printing clarity index through the printing head spraying frequency and the ink droplet diameter in the automatic printing parameters; configure the printing time window according to the printing clarity index, and determine the printing process constraints in the dynamic working condition constraints.

[0060] Specifically, in addition to the material conveying rate, packaging film tension, environmental vibration spectrum, and automatic heat-sealing parameters, the dynamic working condition feature set further includes automatic printing parameters, that is, the control and adjustment parameters used in the printing process, including the spraying frequency of the printing head, the ink droplet diameter, the nozzle temperature, the printing speed, etc. The printing head spraying frequency refers to the number of ink droplets that the printer can spray per second. The higher the spraying frequency, the faster the printing speed, which is suitable for relatively simple printing tasks; while a lower spraying frequency is usually suitable for high-precision printing tasks. The ink droplet diameter refers to the diameter size of a single ink droplet ejected during the printing process. Too small an ink droplet diameter may affect the printing efficiency, while too large an ink droplet diameter may affect the printing precision, resulting in blurred printing or uneven colors.

[0061] During the automatic printing process, important printing parameters are collected through sensors and measurement devices built into the printing module, mainly including the ejection frequency of the print head and the droplet diameter. The printing clarity index is calculated, which reflects the fineness of the printing effect. The printing clarity index is an indicator for comprehensively evaluating printing quality. It is closely related to the ejection frequency of the print head and the droplet diameter. The higher the value of the index, the clearer the printing effect. The printing clarity index can be calculated by the ratio of the ejection frequency of the print head to the droplet diameter. For example, if the ejection frequency is high (such as 1500 Hz) and the droplet diameter is small (such as 20 microns), the printing clarity index is 75, indicating a high printing clarity.

[0062] According to the calculated printing clarity index, configure the printing time window. This formula is similar to the aforementioned heat-sealing time window and is adjusted according to the actual working conditions to ensure that the printing task is completed within the optimal time range. The printing time window refers to the optimal time range required for the printing task under given process conditions. The configuration of this time window is to ensure that the printing is completed within the best time to avoid quality fluctuations or waste caused by too long printing time in the hot pot section.

[0063] Through the printing time window and the clarity index, further determine the printing process constraints. The printing process constraints refer to the operation restrictions on the engineering process under dynamic working conditions, including the ranges of parameters such as printing time, ejection frequency, and droplet diameter, to optimize the printing process and ensure printing quality and production efficiency. By dynamically adjusting the printing time window, combined with the ejection frequency and the droplet diameter, optimize the printing effect to ensure the best quality within each printing cycle.

[0064] Furthermore, the present application further includes the following steps:

[0065] Define the state space according to the mechanical wear coefficient of the device and the material deformation parameters; define the action space according to the motor frequency and the displacement of the tension roller; based on the state space and the action space, configure the exploration step size of the speed regulation model using the deep deterministic policy gradient.

[0066] Furthermore, the present application further includes the following steps:

[0067] Connect the dual-photoelectric sensor array, the heat-sealing control unit, and the printing control unit, and deploy the edge computing unit; the edge computing unit combines the state space and configures the state update frequency synchronized with the predicted packaging beat.

[0068] Specifically, the mechanical wear coefficient of the equipment refers to the degree of wear of mechanical components during the operation of the equipment due to factors such as friction and wear, which affects the working efficiency and service life of the equipment and usually increases with the increase of the usage time. The material deformation parameter refers to the degree of deformation of the material under the action of external forces such as tensile force, compressive force, and shear force during the packaging process, including characteristics such as the tensile modulus, bending modulus, elastic deformation, and plastic deformation of the material, which are important factors affecting the packaging accuracy and quality.

[0069] According to the mechanical wear condition of the equipment and the deformation data of the material during transmission, each state variable (such as equipment state, material state, etc.) is mapped into a multi-dimensional space, and each state corresponds to a specific working condition. The state space is a mathematical concept used in reinforcement learning to describe the system state, which contains the space of all possible states of the automatic packaging machine, and each state can be represented by a set of variables (such as equipment wear, material deformation, sensor readings, etc.).

[0070] Connect the double-photoelectric sensor array, heat-sealing control unit, printing control unit, etc. to the edge computing unit to achieve real-time data collection and analysis. The sensor array provides material positioning information, the heat-sealing control unit provides temperature and time data, and the printing control unit provides printing parameters. At the same time, deploy the edge computing unit. According to the collected state data and combined with the defined state space, configure the state update frequency synchronized with the predicted packaging beat. The edge computing unit can perform rapid calculations on-site and adjust the packaging speed and operation parameters in real time. The edge computing unit is the core of the whole, connecting the sensor array and the control unit, and is responsible for processing the data sent by these devices in real time. It not only quickly analyzes the collected data but also can adjust the working state of the equipment in time according to the predicted packaging beat. For example, when the edge computing unit detects equipment wear or material deviation, it immediately adjusts the working parameters (such as packaging speed, heat-sealing time, etc.) to ensure the smooth operation of the production line.

[0071] The state update frequency determines the frequency at which the control center of the automatic packaging machine updates its own state according to the collected data. For example, when the equipment wear is large, the state needs to be updated frequently to ensure timely adjustment of the machine operation parameters; while when the equipment state is relatively stable, the update frequency can be relatively low. The predicted packaging beat synchronization means that the edge computing unit predicts the future packaging beat according to the current state of the equipment, so as to configure the state update frequency synchronized with the packaging beat. Synchronous update can ensure that the system makes timely adjustments when predicting changes in the packaging beat, avoiding a decrease in packaging efficiency or quality problems caused by speed lag or equipment problems.

[0072] Define the action space according to the motor frequency and the displacement of the tension roller. The motor frequency refers to the rotational speed of the motor rotor, usually expressed in Hertz (Hz), which affects the operating speed, output power, etc. of the packaging machine. The displacement of the tension roller refers to the moving position of the roller used to control the tension of the packaging film in the packaging machine. By adjusting its position, the tensile force of the packaging film can be controlled, thereby affecting the tension of the packaging film. If the tension is uneven, it may cause the packaging film to break or stretch unevenly, affecting the packaging quality.

[0073] During the packaging process, if the motor frequency is low, the operating speed of the equipment will slow down, which may lead to the stagnation of the production line; while if the motor frequency is too high, it may cause uneven stretching of the packaging film or damage to the equipment due to overload. If the tension is too large, it may cause the packaging film to break; if the tension is too small, it may cause the packaging film to be loose or the seal to be incomplete.

[0074] The motor frequency and the displacement of the tension roller are two closely related parameters and must work together to ensure the smooth progress of the entire engineering control process. For example, when the motor frequency increases, the operating speed of the packaging machine increases, and the conveying speed of the material increases. At this time, it may be necessary to correspondingly increase the displacement of the tension roller to increase the tension of the packaging film and avoid the packaging film being too loose or stretched unevenly due to excessive speed. On the contrary, when the motor frequency decreases, the operating speed of the packaging machine slows down, and the conveying speed of the material slows down. The position of the tension roller may need to be adjusted to reduce the tension and avoid damage caused by the film being too tight. By incorporating the motor frequency and the displacement of the tension roller into the action space, a suitable operation strategy can be dynamically selected according to the current equipment state and environmental factors.

[0075] The state space refers to the set of all possible states that the equipment can be in, including the current state information of the equipment, such as the material conveying rate, the tension of the packaging film, the equipment wear condition, environmental vibration, etc. The action space refers to the set of all possible actions that can be taken under a given state, including the motor frequency, the displacement of the tension roller, heat-sealing parameters, etc. Deep Deterministic Policy Gradient (DDPG) is a reinforcement learning algorithm, belonging to the value-based policy gradient method, used for control problems in continuous action spaces, and can find the optimal policy through exploration and exploitation. DDPG approximates the policy and value function through a deep neural network and uses deterministic actions to guide the training process of the model.

[0076] DDPG approximates the policy and value function through a neural network, trains in a continuous action space, and learns a policy function so that the actions selected under a given state can maximize the packaging efficiency and quality. The training process is carried out by selecting an action from the current state and then observing the new state and the obtained reward. The reward function is usually designed based on factors such as packaging quality, equipment stability, and production efficiency.

[0077] Specifically, a state space and an action space are constructed based on the specific parameters of the packaging machine (such as motor frequency, tension roller displacement, etc.). The reward function is usually designed according to factors such as packaging quality, production efficiency, and equipment load. For example, if the tension of the packaging film exceeds the safe range, a negative reward is given, and vice versa, a positive reward is given. The reward function may also be dynamically adjusted according to equipment wear, production efficiency, etc. The DDPG algorithm is used for training. First, an action is randomly selected in the state space, and the results (i.e., changes in equipment state and the obtained rewards) are observed. Then, the algorithm uses Experience Replay and Target Network for optimization, thereby updating the policy network through multiple trainings. According to the effects during the training process, the exploration step size (such as the magnitude of the noise) is adjusted. Usually, the exploration step size is larger at the beginning of the training to explore more action combinations, and as the training progresses, the exploration step size gradually decreases, enabling the model to make more use of the learned strategies. Once the DDPG training is completed, the model can automatically select the best actions (such as adjusting the motor frequency and tension roller displacement) according to the current equipment state, thereby optimizing the operating speed and packaging quality of the packaging machine.

[0078] Configuring the exploration step size means that DDPG adopts exploration and exploitation strategies during training, controlling the intensity of exploration behavior. The exploration step size can add uncertainty through a noise mechanism, enabling better exploration of the action space during training and avoiding getting stuck in local optimal solutions. An overly large step size may lead to excessive exploration, resulting in low learning efficiency; an overly small step size may cause the system to converge to a suboptimal solution prematurely.

[0079] By defining the state space and action space and combining with edge computing units, precise packaging speed regulation can be achieved. Configuring the exploration step size using the DDPG algorithm can optimize the packaging speed regulation model, improve learning efficiency and the adaptability of strategies, jointly improve the automation level of the packaging line, reduce human intervention, and enhance production efficiency and packaging quality.

[0080] S300: Based on the dynamic working condition feature set, combined with the packaging speed optimization vector under the action of dynamic working condition constraints, determine the predicted packaging beat and the predicted overload risk level coupled with the equipment state, and generate an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine.

[0081] Specifically, the dynamic operating condition feature set refers to the dynamic operating condition features of the automatic packaging machine during the actual production process. The dynamic operating condition constraints refer to various limiting conditions that affect the packaging speed during the actual production process, such as heat sealing process constraints, printing process constraints, equipment operating status, etc. The packaging speed optimization vector is a vector composed of multiple control parameters (such as motor speed, heat sealing time, printing frequency, etc.), and these parameters are obtained through an optimization algorithm with the aim of maximizing the packaging speed under the premise of satisfying all process constraints.

[0082] Combined with the packaging speed optimization vector under the action of the dynamic operating condition feature set and dynamic operating condition constraints, determine the packaging speed that the current equipment state can achieve. If the packaging speed is too fast, it may cause the equipment to operate overloaded, thus generating an overload risk. Therefore, predicting the packaging beat and overload risk level can make adjustments in advance to avoid equipment failures. Based on the current heat sealing time, printing frequency, material conveying rate and other data, predict the packaging beat, that is, the number of packages completed by the automatic packaging machine per unit time. Predicting the overload risk level is the risk that the equipment may cause mechanical failures, damages or other safety problems due to operating conditions exceeding its design limits. Predicting the overload risk level is to analyze the working parameters and dynamic operating condition features of the equipment, evaluate whether the equipment has an overload risk currently, and give early warnings of possible failures. For example, by analyzing the motor frequency and heat sealing parameters, it is found that the equipment has an overload risk under the current conditions, and the overload risk level is 2 (1 is low risk, 2 is medium risk, 3 is high risk).

[0083] According to the predicted packaging beat and overload risk level, automatically generate an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine, and adjust the operating parameters of the packaging machine in real time, such as motor speed, heat sealing time, print head frequency, etc., to ensure that the packaging machine is always in the best working state. For example, in a certain period, the heat sealing temperature of the packaging machine is too high, resulting in an overload risk level reaching 3. At this time, the adaptive control instruction set may automatically adjust the heat sealing temperature and reduce the packaging machine speed, thereby reducing the overload risk and ensuring that the packaging quality is not affected.

[0084] When the predicted overload risk level is too high, a warning will be sent to relevant personnel to prompt equipment failures and immediate maintenance. By optimizing the packaging speed, combining the dynamic operating condition feature set and constraint conditions, the efficient operation of the packaging machine is realized, the production efficiency is maximized, the overload risk is predicted, and the equipment is prevented from failing due to overloading. This not only improves the production efficiency, but also extends the service life of the equipment and reduces quality problems in production.

[0085] In summary, the packaging speed adaptive regulation method for an automatic packaging machine provided by this application has the following beneficial effects:

[0086] Collect a set of dynamic operating condition characteristics including material conveying rate, packaging film tension, and environmental vibration spectrum through a packaging production line connected to an automatic packaging machine; construct a speed regulation model, and configure an optimized packaging speed vector under the constraint of dynamic operating conditions by combining the mechanical wear coefficient of the equipment and the material deformation parameters; based on the set of dynamic operating condition characteristics, combine the optimized packaging speed vector under the constraint of dynamic operating conditions, determine the predicted packaging beat and the predicted overload risk level coupled with the equipment state, and generate an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine. That is to say, by collecting the set of dynamic operating condition characteristics, combining the mechanical wear of the equipment and the material deformation parameters, constructing a speed regulation model, and generating an adaptive control instruction set accordingly, the precise regulation of the packaging speed can be achieved, effectively coping with the changes in dynamic operating conditions on the production line, reducing equipment wear, ensuring product quality, and enhancing the flexibility and response speed of the production line.

[0087] Embodiment 2. Based on the same inventive concept as the method for adaptively regulating the packaging speed of an automatic packaging machine in the foregoing Embodiment 1, the present application also provides a system for adaptively regulating the packaging speed of an automatic packaging machine. Please refer to the appendix Figure 2 , the system for adaptively regulating the packaging speed of an automatic packaging machine includes:

[0088] An operating condition set collection module 11, which is used to collect a set of dynamic operating condition characteristics including material conveying rate, packaging film tension, and environmental vibration spectrum through a packaging production line connected to an automatic packaging machine; an optimized vector configuration module 12, which is used to construct a speed regulation model, and configure an optimized packaging speed vector under the constraint of dynamic operating conditions by combining the mechanical wear coefficient of the equipment and the material deformation parameters; an instruction generation module 13, which is used to determine the predicted packaging beat and the predicted overload risk level coupled with the equipment state based on the set of dynamic operating condition characteristics, combine the optimized packaging speed vector under the constraint of dynamic operating conditions, and generate an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine.

[0089] Furthermore, the operating condition set collection module 11 in the system for adaptively regulating the packaging speed of an automatic packaging machine is further used for:

[0090] Using the material conveying rate in the set of dynamic operating condition characteristics to jointly drive a photoelectric detection instruction; the photoelectric detection instruction is used to start a dual-photoelectric sensor array on both sides of the automatic packaging machine for material positioning and packaging film edge detection.

[0091] Furthermore, the operating condition set collection module 11 in the system for adaptively regulating the packaging speed of an automatic packaging machine is further used for:

[0092] Obtain the lateral deviation amount Δx between the material center and the center line of the packaging film; configure a speed compensation coefficient where Dmax is the maximum allowable lateral deviation threshold, and sgn(Δx) is the sign function. When Δx > 0, it takes +1, and when Δx < 0, it takes -1.

[0093] Furthermore, the optimization vector configuration module 12 in the packaging speed adaptive regulation system of the automatic packaging machine is further configured to:

[0094] The dynamic working condition feature set further includes automatic heat sealing parameters; through the heat sealing knife temperature T in the automatic heat sealing parameters seal and the heat sealing time t seal , evaluate the heat sealing strength index S; according to the heat sealing strength index S, configure the heat sealing time window W, and determine the heat sealing process constraint in the dynamic working condition constraint.

[0095] Furthermore, the optimization vector configuration module 12 in the packaging speed adaptive regulation system of the automatic packaging machine is further configured to:

[0096] The heat sealing strength index where T ref is the nominal heat sealing temperature, and t ref is the nominal heat sealing time.

[0097] Furthermore, the optimization vector configuration module 12 in the packaging speed adaptive regulation system of the automatic packaging machine is further configured to:

[0098] The heat sealing time window W = t ref ·(1 + α·(1 - S)), where α is the heat sealing time adjustment coefficient, and the value range is 0.1 ≤ α ≤ 0.3, which is used to control the variation range of the heat sealing time window W with the heat sealing strength index S; according to the heat sealing time window W, synchronously adjust the heat sealing process and the running speed of the automatic packaging machine.

[0099] Furthermore, the optimization vector configuration module 12 in the packaging speed adaptive regulation system of the automatic packaging machine is further configured to:

[0100] The dynamic working condition feature set further includes automatic printing parameters; through the printing head ejection frequency and ink droplet diameter in the automatic printing parameters, evaluate the printing clarity index; according to the printing clarity index, configure the printing time window, and determine the printing process constraint in the dynamic working condition constraint.

[0101] Furthermore, the optimization vector configuration module 12 in the packaging speed adaptive regulation system of the automatic packaging machine is further configured to:

[0102] Define the state space according to the mechanical wear coefficient of the device and the material deformation parameters; define the action space according to the motor frequency and the displacement of the tension roller; based on the state space and the action space, configure the exploration step size of the speed regulation model by using the deep deterministic policy gradient.

[0103] Furthermore, the optimization vector configuration module 12 in the packaging speed adaptive regulation system of the automatic packaging machine is further configured to:

[0104] Connect the dual photoelectric sensor arrays, the heat sealing regulation unit, and the printing regulation unit, and deploy the edge computing unit; the edge computing unit combines the state space and configures the state update frequency synchronized with the predicted packaging beat.

[0105] The various embodiments in this specification are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The Figure 1 The packaging speed adaptive regulation method and specific examples in the first embodiment are equally applicable to the packaging speed adaptive regulation system of the automatic packaging machine in this embodiment. Through the detailed description of the packaging speed adaptive regulation method of the automatic packaging machine above, those skilled in the art can clearly know the packaging speed adaptive regulation system of the automatic packaging machine in this embodiment. Therefore, for the sake of simplicity of the specification, it will not be elaborated here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple. For the relevant parts, please refer to the description in the method part.

[0106] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0107] Obviously, for those skilled in the art, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the present application.

Claims

1. A method for adaptively regulating the packaging speed of an automatic packaging machine, characterized in that, Including: On the packaging production line connected to the automatic packaging machine, collect a set of dynamic working condition characteristics including material conveying rate, packaging film tension, and environmental vibration spectrum; Construct a speed regulation model, combine the mechanical wear coefficient of the equipment and the material deformation parameters, and configure the packaging speed optimization vector under the action of dynamic working condition constraints; Based on the set of dynamic working condition characteristics, combine the packaging speed optimization vector under the action of dynamic working condition constraints, determine the predicted packaging beat and the predicted overload risk level coupled with the equipment state, and generate an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine.

2. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 1, characterized in that Use the material conveying rate in the set of dynamic working condition characteristics to jointly drive the optoelectronic detection instruction; The optoelectronic detection instruction is used to start the dual optoelectronic sensor arrays on both sides of the automatic packaging machine for material positioning and packaging film edge detection.

3. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 2, characterized in that, The optoelectronic detection instruction is used to start the dual optoelectronic sensor arrays on both sides of the automatic packaging machine, and further includes: Obtain the lateral deviation Δx between the material center and the packaging film center line; Configure the speed compensation coefficient where D max is the maximum allowable lateral deviation threshold, sgn(Δx) is the sign function, which takes +1 when Δx > 0 and -1 when Δx < 0.

4. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 2, characterized in that The set of dynamic working condition characteristics further includes automatic heat sealing parameters; Through the heat-sealing knife temperature T in the automatic heat-sealing parameters seal and the heat-sealing time t seal , evaluate the heat-sealing strength index S; According to the heat sealing strength index S, configure the heat sealing time window W, and determine the heat sealing process constraint in the dynamic working condition constraint.

5. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 4, characterized in that, The heat seal strength index wherein, T ref is the nominal heat seal temperature, and t ref is the nominal heat seal time.

6. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 5, characterized in that, The heat-sealing time window W = t ref ·(1 + α·(1 - S)), where α is the heat-sealing time adjustment coefficient, and the value range is 0.1 ≤ α ≤ 0.3, which is used to control the variation range of the heat-sealing time window W with the heat-sealing strength index S; According to the heat sealing time window W, synchronously adjust the heat sealing process and the running speed of the automatic packaging machine.

7. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 4, characterized in that The set of dynamic working condition characteristics further includes automatic printing parameters; Evaluate the printing clarity index through the printing head spraying frequency and ink droplet diameter in the automatic printing parameters; According to the printing clarity index, configure the printing time window, and determine the printing process constraint in the dynamic working condition constraint.

8. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 7, characterized in that Construct a speed regulation model, combine the mechanical wear coefficient of the equipment and the material deformation parameters, and configure the packaging speed optimization vector under the action of dynamic working condition constraints, and further includes: Define the state space according to the mechanical wear coefficient of the equipment and the material deformation parameters; Define the action space according to the motor frequency and the tension roller displacement; Based on the state space and the action space, adopt the deep deterministic policy gradient to configure the exploration step size of the speed regulation model.

9. The packaging speed adaptive regulation method of an automatic packaging machine according to claim 8, characterized in that, Define the state space according to the mechanical wear coefficient of the equipment and the material deformation parameters, including: Connect the dual optoelectronic sensor arrays, the heat sealing regulation unit, and the printing regulation unit, and deploy the edge computing unit; The edge computing unit combines the state space and configures the state update frequency synchronized with the predicted packaging beat.

10. An adaptive regulation system for the packaging speed of an automatic packaging machine, characterized in that, For implementing the steps of the method for adaptively regulating the packaging speed of an automatic packaging machine according to any one of claims 1 to 9, the system for adaptively regulating the packaging speed of an automatic packaging machine includes: A working condition set collection module for collecting a set of dynamic working condition characteristics including material conveying rate, packaging film tension, and environmental vibration spectrum on the packaging production line connected to the automatic packaging machine; An optimization vector configuration module for constructing a speed regulation model, combining the mechanical wear coefficient of the equipment and the material deformation parameters, and configuring the packaging speed optimization vector under the action of dynamic working condition constraints; An instruction generation module, configured to determine a predicted packaging cycle and a predicted overload risk level coupled with the equipment state based on the dynamic operating condition feature set and in combination with the packaging speed optimization vector under the action of dynamic operating condition constraints, and generate an adaptive control instruction set to regulate the packaging speed of the automatic packaging machine.

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